Exploring Dark Fermentation Effluent in Two-Stage Anaerobic Digestion
Bibliographic record
Abstract
Dark fermentation and anaerobic digestion are anaerobic fermentation processes that use organic matter as feedstocks under anaerobic microbial conditions. Buswell’s equation can represent anaerobic fermentation in accordance with the elemental composition of any organic matter. Compared to 1-stage anaerobic digestion, 2-stage anaerobic digestion can better enhance biohydrogen and biomethane production. In a 2-stage anaerobic digestion, dark fermentation effluent is considered an intermediate between the first dark fermentation stage and the second anaerobic digestion stage. However, currently, there is no established study on the general elemental composition of a dark fermentation effluent. The purpose of this research is to use Buswell’s equation to explore this process. This research developed an empirical Buswell’s equation for biohydrogen as a model through the integration of theoretical Buswell’s concept and experimental biohydrogen potential. This model identifies the elemental composition and characteristics of a dark fermentation effluent and improves the understanding of the correlation between an organic matter and its dark fermentation effluent. When the theoretical biomethane potential of dark fermentation effluent is found, the valid biodegradability index of 2-stage anaerobic digestion can be elucidated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".